B2F (Biometric images of Fingerprints and Faces)
- Citation Author(s):
-
Islem JARRAYA
(REGIM-Lab)
Tarek M. HAMDANI (REGIM-Lab)Adel M. ALIMI (REGIML-Lab) - Submitted by:
- Islem Jarraya
- Last updated:
- DOI:
- 10.21227/3pwx-rb17
- Data Format:
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Abstract
The B2F dataset (Biometric images of Fingerprints and Faces) has been prepared for face and fingerprint recognition, verification or classification.
The first subset (Fingerprint): This set of data presents the five finger feature vectors (of the left hand) for each person in a csv files.
The second subset (Face): This set of data presents feature vectors of face images in csv files. Feature vectors were extracted using the model (ResNet-50 + ArcFace). This set of face feature vectors represents:
- Feature vectors of face images taken on thirteen views (at a distance of 2 meters) (0°, 15°, 30°, 45°, 60°, 75°, 90°, 105°, 120°, 135°, 150 °, 165° and 180°),
- Feature vectors of face images taken with seven emotions (neutral, angry, happy disgusted, scared, surprised and sad)
- Feature vectors of four face images taken at three distances (two at a distance of two meters, one at one meter and one at a quarter of a meter) for each person.
Instructions:
The "csv_testLabels" and "csv_test" files represent the labels and the feature vectors of the test part respectively.
The "csv_trainLabels" and "csv_train" files represent the labels and the feature vectors of the train part respectively.
